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Record W3123454987 · doi:10.19195/0860-6668.24.4.7

The quest for a successful book-to-series adaptation in the times of SVOD — using the examples of “The Handmaid’s Tale and Alias Grace” by Margaret Atwood

2021· article· en· W3123454987 on OpenAlexaboutno aff

Bibliographic record

VenuePrace Kulturoznawcze · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsAliasEntertainmentAdaptation (eye)LiteraturePoliticsHistoryMedia studiesArtSociologyVisual artsComputer scienceLawPolitical sciencePsychology

Abstract

fetched live from OpenAlex

A fascinating factor of so-called mass culture is the ability to adapt to society and its needs. The same pattern seems to be followed by the film industry, as it has been influenced by other branches of entertainment, television included. These are SVODs (Streaming Video on Demand platforms), which offer a growing number of screen adaptations of literary works. The following paper aims to analyse some criteria upon which book-to-series adaptations might be regarded as successful, using examples from The Handmaid’s Tale and Alias Grace.Produced respectively by Hulu and CBC, both based on books by the Canadian female writer Margaret Atwood, the analysed shows confirm that the audience is more inclined to watch (and read) an intertextual production that often reflects and comments on contemporary political and social reality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.298
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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